Triple
T15643108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacău |
E376112
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object |
DN2
DN2 is a major national road in Romania that forms part of the European route E85, connecting Bucharest with northeastern regions of the country.
|
E1168215
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DN2 | Statement: [Bacău, roadConnection, DN2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DN2 Context triple: [Bacău, roadConnection, DN2]
-
A.
DN7
DN7 is a major national road in Romania that forms part of a key transport corridor linking Bucharest with Pitești and onward toward western Romania and the Hungarian border.
-
B.
DN
DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
C.
DN
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
-
D.
DEN
DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
-
E.
DNH
DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DN2 Triple: [Bacău, roadConnection, DN2]
Generated description
DN2 is a major national road in Romania that forms part of the European route E85, connecting Bucharest with northeastern regions of the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DN2 Target entity description: DN2 is a major national road in Romania that forms part of the European route E85, connecting Bucharest with northeastern regions of the country.
-
A.
DN7
DN7 is a major national road in Romania that forms part of a key transport corridor linking Bucharest with Pitești and onward toward western Romania and the Hungarian border.
-
B.
DN
DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
C.
DN
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
-
D.
DEN
DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
-
E.
DNH
DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4d49188190855a895c5844dee0 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff614906cc81909d978d8645045af3 |
completed | May 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff61b3b3f08190a2a1e1010684a316 |
completed | May 9, 2026, 4:32 p.m. |
Created at: April 10, 2026, 4:15 a.m.